The control rule base in the form of linguistic rule is given.
控制规则库以语言规则的形式给出。
The way may realize self learning multi dimension control rule base.
方法能实现任意维控制规则库的自学习。
The fuzzy control rule for the calculation of quantization gain factor is given.
确立了计算量化增益因子的模糊控制规则；
The dynamic response and control rule of the system were analyzed by this model.
初步分析了该系统的扰动特性、调节特性和控制规律。
Moreover, the solutions to control rule and cutting tool management are presented.
同时，提出了任务调度规则和刀具管理的设计方法。
The self-optimizing method of the fuzzy control rule model has been presented finally.
最后给出模糊控制规则模型自寻优优化方法。
Closed loop feedback adopts PID control rule to insure the stabilization of magnification times.
闭环反馈采用PID这种最广泛使用的控制规律，以保证放大倍数的稳定。
On the basis of generalized minimum variance control principles, an expanded control rule is induced.
以广义最小方差控制原理为基础导出了扩展控制规律。
Based on the optimal control theory, the energy saving control rule, the on-off switching manner, is derived.
在此基础上，根据最佳控制理论，导出了节能控制规律——开关控制。
The design principles of the control rule base under common conditions for non-minimum phase systems is proposed.
并针对非最小相位系统，提出了一般情况下控制规则基的设计原则。
Parameters selection in fuzzy PID control rule is analyzed and a discussion for the control results is carried out.
对模糊pid控制规律中参数的选择进行了分析，并对控制结果进行了讨论。
This paper presents a method about electrode movement control rule inserted in current-constant spot-weld controller.
提出了一种在恒流点焊控制器基础上加入电极热膨胀位移控制规则的方法。
An adjustable fuzzy controller of which the fuzzy control rule table can be obtained by numerical calculation is designed.
设计了一种在线可调整的模糊控制器，其模糊控制规则表可以用解析的方法进行计算。
At last, the kernel common module, file of control rule and log file are designed, and the next-step work of system is viewed.
另外，本文还对核心公用模块、控管规则文件、日志文件进行了设计，对今后的工作做出了进一步的展望。
Workflow runtime control rule is formulized in ECA rules and its application in database is researched to realize the control logic.
基于ECA规则研究了引擎的运行控制规则，将ECA规则应用到关系数据库中实现了工作流引擎的控制逻辑。
A research shows that switch time fuzzy control not only improves control accuracy of temperature, but also simplifies control rule.
研究表明，开关时间模糊控制不仅提高了温度的控制精度，而且简化了控制规则。
In this paper the necessity and importance that construct a automatic motion control Rule Base in automatic under vehicle (AUV) are addressed.
讨论并分析了建立水下无人潜器(AUV)自主运动控制规则库的必要性和重要性及可行性。
At last, control performance of optimized control rule and membership function are compared with that of PID and traditional fuzzy control system.
并利用寻优获得的隶属函数和控制规则与PID算法、常规模糊控制算法控制同一被控对象的响应结果进行了对比分析。
From the point of view of engineering application, the PID control rule is discussed and the experience of automatic control system is introduced.
从工程应用的角度，对PID控制规律应用注意事项进行了讨论，并介绍了一些控制系统投入自动的经验。
In the coding process, scale factor, fuzzy-control rule and Subordination function are integrated to code in order to complete integral optimizing.
编码过程中对比例因子、模糊控制规则和隶属度函数进行了统一编码，实现了多个因数的整体寻优。
Because a new type of magnetic powder clutch for vehicle is employed in this system, the model of it is built up and the control rule is researched.
由于在整个系统中采用了一种新型的车用磁粉离合器，因此本文建立了磁粉离合器模型，并对磁粉离合器的控制规律进行了研究和试验。
Then the pose of longitudinal motion is estimated by linear Kalman filter. Finally, an optimal control rule is constructed by LQG performance index.
其次，利用线性卡尔曼滤波器对其纵向运动姿态进行估计，依据LQG性能指标构造了最优控制规律。
In this method the self-adjusting integrator is adopted together with basic fuzzy control, according to the fuzzy control rule and practical experience.
该方法根据模糊控制规则和实际工程经验，在基本模糊控制的基础上增加了一个系数自整定积分器。
By using quadric LQR algorithm, optimal control rule was educed. According to extremum principle, control force of driver on semi-active damper was confirmed.
通过二次型最优控制LQR算法，根据极值原理导出最优控制律，以确定半主动减振器驱动器控制力。
This design method can improve dynamic and static characteristics of system by collecting bending force signal, summarizing experience and designing control rule.
通过采集弯曲力的变化信号，总结弯曲经验，制定控制规则，改善了系统的动静态特性。
Then with an industrial furnace as controlled object, fuzzy control rule is obtained and fuzzy self adaptive control is realized by on line identifying fuzzy model.
并以工业电炉为控制对象，通过在线辨识模糊模型获得模糊控制规则，实现了模糊自适应控制。
Provides the control rule sets, methods of revising knowledge base and control strategies and carries on simulation research and performance analysis for the system.
给出了自适应模糊控制技术的控制规则集、知识库修正方法和控制策略，并进行了系统仿真研究和性能分析。
Provides the control rule sets, methods of revising knowledge base and control strategies and carries on simulation research and performance analysis for the system.
给出了自适应模糊控制技术的控制规则集、知识库修正方法和控制策略，并进行了系统仿真研究和性能分析。
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